Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Utilize extensive bench, clinical, manufacturing, and real-world data to pinpoint the primary factors affecting product performance, reliability, and user experience.

• Work in collaboration with firmware, hardware, algorithm, sensor/membrane, and mechanical engineering design teams.

• Create and develop scalable analytical tools, dashboards, and data workflows.

• Formulate models, machine learning solutions, and advanced analytical techniques to produce actionable insights.

• Spearhead exploratory projects to assess hypotheses, discover opportunities, and enhance methodologies.

• Offer technical guidance in data science and analytics.

• Shape study design, success metrics, and analytical strategy for pivotal development programs.

• Partner with product owners, project managers, designers, and other team members.

⛳️ Requirements

• Demonstrated industry experience utilizing data science, statistics, or machine learning for intricate product, technology, or business challenges.

• Master’s degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering, or a related quantitative discipline.

• Hands-on experience extracting insights from health sensing time series data using statistical modeling, machine learning, or other analytical approaches.

• Exceptional communication and presentation abilities.

• Advanced proficiency in SQL and statistical programming languages such as Python, R, or MATLAB.

• Experience in managing and querying datasets and databases of varying sizes and levels of cleanliness.

• Profound understanding of statistical inference, experimental design, predictive modeling, uncertainty quantification, and data visualization.

• Capability to independently handle and consult with stakeholders on complex projects to establish success criteria and timelines.

• Established history of influencing decisions and generating measurable impact through data-driven recommendations.

• Generally requires a Bachelor’s degree in a technical field with 8–12 years of relevant experience, or a Master’s degree with 5–7 years of equivalent industry experience, or a PhD with 2–4 years of experience.

• Travel required: 0–5%.

🏝️ Benefits

• A comprehensive and inclusive benefits program.

• Opportunities for growth on a global scale.

• Access to career development through in-house learning programs and/or eligible tuition reimbursement.

• Home office workplace arrangements.

• Flexible workplace options may be available for employees residing within commuting distance of a Dexcom site.